Update app.py

app.py

@@ -13,16 +13,17 @@ login(token=token)
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
 torch.cuda.max_memory_allocated(device=device)
 torch.cuda.empty_cache()
-pipe = StableVideoDiffusionPipeline.from_pretrained("stabilityai/stable-video-diffusion-img2vid-xt-1-1", variant="fp16", use_safetensors=True)
-#pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
 
-pipe.enable_xformers_memory_efficient_attention()
-pipe = pipe.to(device)
-torch.cuda.empty_cache()
 
 def genie(src_image):
     torch.cuda.max_memory_allocated(device=device)
     torch.cuda.empty_cache()
+    pipe = StableVideoDiffusionPipeline.from_pretrained("stabilityai/stable-video-diffusion-img2vid-xt-1-1", variant="fp16", use_safetensors=True)
+    #pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
+
+    pipe.enable_xformers_memory_efficient_attention()
+    pipe = pipe.to(device)
+    torch.cuda.empty_cache()
     frames = pipe(image=src_image).images[0]
     torch.cuda.empty_cache()
     return frames